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The use of a vision system for supervision of a manipulator with electrohydraulic servodrives

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Języki publikacji
EN
Abstrakty
EN
The article describes a system for supervising a hydraulic manipulator and allowing its work in the event of failure of the primary measuring system. A monitoring system based on a digital camera observes the manipulator and its environment. In the case of failure of one of the encoders, the control of the manipulator movement is made by taking a feedback signal provided by the vision system. This allows continuation of the work of the manipulator even in the presence of the encoder errors. Additionally, the system is protected against abnormal movements which may lead to hitting of elements allocated in the manipulator working area. A comparison of the system accuracy equipped with two different feedback sensors is also presented.
Rocznik
Strony
917--930
Opis fizyczny
Bibliogr. 15 poz., rys., wykr.
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autor
autor
autor
Bibliografia
  • Behal A., Setlur P., Dixon W. and Dawson D.M. (2005): Adaptive position and orientation regulation for the camera-in-hand problem. - Journal of Robotic Systems, vol.22, No.9, pp.457-47.
  • Bouguet J.Y. (2010): Camera Calibration Toolbox for Matlab. - www.vision.caltech.edu/bouguetj/calib_doc.
  • Bradski G. and Kaehler A. ( 2008): Learning OpenCV. Computer Vision with the OpenCV Library. - O'Reilly Media.
  • Cherubini A. and Chaumette F. (2011): Visual navigation with obstacle avoidance. - Intelligent Robots and Systems (IROS), IEEE/RSJ International Conference on Digital Object, pp.1593-1598.
  • Hashimoto K. (2003): A review on vision-based control of robot manipulator. - Advanced Robotics, vol.17, No.10, pp.969-991.
  • Ju Y., Chang S.K., Jong B., Hong S., Lee M.H. and Harashima F. (2001): Vision based lateral control by yaw rate feedback. - The 27th Annual Conference of the IEEE Industrial Electronics Society, pp.2135-2138.
  • Kim Ch.-S., Mo E.-J., Han S.-M., Jie M.-S. and Lee K.-W. (2010): Robust visual servo control of robot manipulators with uncertain dynamics and camera parameters. - International Journal of Control, Automation and Systems, vol.8, No.2, pp.308-313.
  • Lan Ch.-Ch., Lee Y.-Ch., Jiang J.-F., Chen Y.-J. and Wei H.-Y. (2011): Design of a compact camera-orienting mechanism with flexural pan and tilt axes. - Intelligent Robots and Systems (IROS), pp.1962-1967.
  • Milecki A. (2003): Linear electrohydraulic servo drives. Modeling and Control. - Publisher: Poznan University of Technology, pp.1 - 130.
  • Nasisi O. and Carelli R. (2003): Adaptive servo visual robot control. - Robotics and Autonomous Systems 43, pp.51-78.
  • Park J.H. and Lee Y.J. (2002): Robust visual servoing for motion control of the ball on a plate. - Mechatronics 13, pp.723-738.
  • Petrovic I. and Brezak M. (2002): Machine vision based control of the ball and beam. - Advanced Motion Control, IEEE Seventh International Workshop 3, pp.573-577.
  • Tadeusiewicz R. (1992): Industrial robots visual system. - WNT.
  • Visinsky M.L., Cavallaro J.R. and Walker I.D. (1994): Robotic fault detection and fault tolerance: A survey Reliability Engineering System Safety. - Vol.46, No.2, Publisher: Elsevier, pp.139-158.
  • Wyrobek K.A., Berger E.H., Van der Loos H.F.M. and Salisbury J.K. (2008): Towards a personal robotics development platform: Rationale and design of an intrinsically safe personal robot. - Conference on Robotics and Automation, ICRA 2008, pp.2165-2170.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPZ5-0027-0042
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